Submitting Form...
×

Master of Software Engineering (Mobile Development)

university icon
UTeM University Malaysia

Master of Software Engineering (Mobile Development)

university icon
UTeM University Malaysia

Master of Software Engineering (Mobile Development)

Qualification
Master's Degree
Duration
1 years
Intake
FebFebSepSep
English Requirement
IELTS 6.0
Offer Letter
Fees Applies
Class Type
Physical
Course Fee for International Students
First year from MYR 29,255 excludes 6% SST & other fees
Estimated total tuition from ~MYR 29,255 1 years programme
Published fees don't include possible scholarships and YourUni discounts — most students pay less than the sticker price.

See your real cost — with discounts

Free, no obligation. We'll send your exact breakdown for Master of Software Engineering (Mobile Development) on WhatsApp.

Exact year-by-year tuition breakdown
Your scholarship & YourUni discount eligibility
All other fees (visa/EMGS, resource, international)
Instalment & payment-plan options
No spam. We only use your details to send your fee breakdown and help you apply.

You're all set, John

Our team is preparing your full fee breakdown for Master of Software Engineering (Mobile Development) plus any scholarships you qualify for. Tap below to open the chat and get it on WhatsApp now.

We usually reply within minutes during working hours.

Would you like to apply to
UTeM University Malaysia ?

The Master of Software Engineering (Mobile Development) at UTeM University, Malaysia, is tailored for recent graduates and industry practitioners with strong analytical and computing skills. The program aims to equip students with both fundamental and applied knowledge in mobile development, focusing on current technologies in Data Science and Analytics.

Key components of the program include understanding the principles of data science, analyzing big data, utilizing data science tools, and applying analytics techniques across various domains. Students will also develop skills to effectively present analytics results to diverse audiences.

Delivery modes include lectures, lab sessions, and industrial projects, emphasizing state-of-the-practice techniques, tools, and methodologies through collaborative efforts with industry partners. This comprehensive approach prepares graduates for successful careers in mobile development and data-driven decision-making.

Programme Structure

Compulsory Courses

Course Credit Hours
Research Methodology 3

University Elective

Course Credit Hours
Entrepreneurship 3

Programme Core

Course Credit Hours
Fundamentals of Data Science 3
Big Data Management 3
Applied Statistical Methods 3
Applied Machine Learning 3
Big Data Analytics and Visualization 3
Modelling and Decision Making 3

Electives (Choose Two)

Course Credit Hours
Special Topics in Applied Data Science 3
Manufacturing Analytics 3
Social Media Analytics 3
Geospatial Analytics 3
Healthcare Analytics 3
Tourism Analytics 3
Customer and Financial Analytics 3

Master Project I & II

Course Credit Hours
Master Project I & II 10

Total Credit Hours

  • Total Credit Hours: 40
Hello!
Click one of our representatives below to chat on WhatsApp or send us an email to info@your-uni.com

The team typically replies in a few minutes.

Need help? Chat with us
Some text some message..